Jobs at Mindtickle

Owns portfolio governance, financial visibility, sourcing analysis, strategic initiatives, escalations, process improvement, and executive reporting across Mindtickle’s Services organization. The role tracks revenue, costs, margins, capacity, utilization, vendors, and delivery risks; leads cross-functional programs; supports account recovery; standardizes operating processes; and transforms operational data into leadership narratives and decisions.

Lead strategic, customer-facing Professional Services programs across implementation, content delivery, managed services, and technical workstreams. Responsibilities include program governance, delivery planning, risk mitigation, resource allocation, executive communication, customer relationship management, reporting, pre-sales support, process improvement, and mentoring program managers. The role focuses on predictable delivery, operational excellence, scalable frameworks, and measurable customer outcomes across multiple concurrent programs.

Provides frontline technical support for a global enterprise SaaS platform and AI solutions. Troubleshoots and resolves complex customer issues involving cloud systems, backend services, APIs, data platforms, UI interactions, and AI capabilities. Collaborates with global customers and internal engineering teams, communicates effectively, owns issues through resolution, and develops deeper technical expertise in a fast-paced environment.

Lead strategic customer deployments, adoption, value realization, and expansion for Mindtickle’s AI-powered SaaS platform. Serve as a product strategist and trusted advisor, translating customer goals into scalable solutions, workflows, and adoption plans. Demonstrate AI capabilities, guide enterprise integrations and change management, influence product roadmap decisions, and build executive relationships. Use adoption data and business outcomes to improve retention, identify expansion opportunities, and operationalize AI-enabled customer processes.

Lead product design for Mindtickle’s B2B SaaS content platform. Define strategy and user experiences for AI content creation, governance, analytics, and sharing workflows. Conduct research, analyze data, create wireframes, prototypes, and high-fidelity designs, and establish scalable design patterns. Collaborate with product, engineering, and research teams while mentoring junior designers and influencing cross-functional stakeholders.

Own end-to-end product design for AI-powered seller experiences, from research and problem framing through prototyping, high-fidelity design, launch, and iteration. Partner with product, engineering, UX research, and content design teams to create trusted AI-native workflows, support multiple user roles, contribute to design systems, and measure product impact. The role requires strong interaction and visual design skills, systems thinking, B2B SaaS experience, and a portfolio demonstrating design rationale.

Manage information security, privacy, compliance, customer security requests, and third-party risk for a cloud SaaS platform. Responsibilities include responding to RFPs and questionnaires, maintaining security controls and evidence, coordinating audits, managing policies, conducting vendor assessments, tracking corrective actions, and collaborating with engineering, legal, privacy, HR, and customer teams across SOC 2, ISO, HIPAA, and related frameworks.

Build the company’s central AI intelligence engine by integrating product, CRM, marketing, and support data. Develop scalable APIs, middleware, webhooks, agentic workflows, RAG systems, and LLM-powered applications. Ensure AI outputs are grounded, evaluated, secure, and governed. Collaborate on data pipelines and use SQL and cloud data warehouses to support reliable real-time automation across business functions.

Lead end-to-end instructional design projects: conduct needs analysis, storyboard and script learning modules, develop eLearning assets using authoring tools, manage SMEs and clients, ensure quality reviews, deliver scalable learning solutions (SCORM, video, job aids) and support LMS deployment and engagement.

Build security automation, integrations, and internal tooling that automate compliance evidence collection, control checks, identity and endpoint security tasks, reporting, dashboards, and alerting. Develop lightweight API-driven pipelines across security, IT, identity, and compliance systems using Python, GCP, Claude Code, and MCP tools. Document reliable automations and partner with security, privacy, compliance, and IT teams.

Serve as the SME and escalation point for global endpoint and identity platforms. Architect, secure, and automate device management (Jamf, Intune), identity provisioning (Okta/Entra ID), collaboration suites (Google Workspace, M365), lifecycle automation, and runbooks. Partner with InfoSec on compliance and conditional access, mentor junior engineers, and drive infrastructure automation using scripting and cloud tooling.

Provide L2 technical support for a multi-tenant AI-powered SaaS platform: diagnose and resolve complex backend, API, data, UI and AI issues; analyze logs and traces; script automation; own tickets end-to-end; build runbooks and knowledge; collaborate with Engineering, Product, QE, and DevOps to remediate systemic issues and improve reliability.

Lead customer advocacy, voice-of-customer, lifecycle, retention, and communications to build a data-driven proof engine that drives adoption, retention, expansion, and sales enablement. Partner cross-functionally to capture outcomes, grow references and stories, run VoC programs, and operationalize customer communications and in-product engagement.

The Staff Engineer at Mindtickle will lead technical initiatives, mentor teams, design scalable systems, enforce architectural standards, and foster innovation to enhance software development practices.

The Lead Design Engineer at Mindtickle will design and prototype interactive UI components, manage the design system, and enhance team capabilities through innovative practices.

Lead Behavior and Performance Intelligence product strategy for an AI-powered revenue enablement platform. Define what correct judgments about sales rep performance look like, run design partnerships, own roadmap and customer relationships, drive pricing and business outcomes, and run AI-native evals, prototyping, and agent-driven workflows to deliver trusted insights to managers and revenue leaders.